Successful efforts in hand gesture recognition research within the last two decades paved
the path for natural human–computer interaction systems. Unresolved challenges such as …

Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …

Gesture recognition using machine-learning methods is valuable in the development of
advanced cybernetics, robotics and healthcare systems, and typically relies on images or …

We fabricated a nanowire-channel intrinsically stretchable neuromorphic transistor (NISNT)
that perceives both tactile and visual information and emulates neuromorphic processing …

Hand gesture recognition has a wide range of applications, including in the automotive and
industrial sectors, health assistive systems, authentication, and so on. Thermal images are …

The communication barrier and the hearing majority are the key social concerns of the deaf-
dumb community that prevent them from accessing the basic and essential services of the …

Stretchable strain sensors are highly desirable for human motion monitoring, and can be
used to build new forms of bionic robots. However, the current use of flexible strain gauges …

Motion recognition is a topic in software engineering and dialect innovation with a goal of
interpreting human signals through mathematical algorithm. Hand gesture is a strategy for …

Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …

Abstract Hand Gesture Recognition (HGR) is widely used in human–computer interaction
due to its convenience. However, there are still some challenges in real-world scenarios …